Algorithms and evaluation metrics integrated in the COPS framework. حسب Teemu J. Rintala (19333003)

primary mouse RT single cell RNA-seq حسب Mamy ANDRIANTERANAGNA (12913196)

Data_Sheet_1_Construction and Interpretation of Prediction Model of Teicoplanin Trough Concentration via Machine Learning.docx حسب Pan Ma (400070)

Supplementary file 1_Development of a venous thromboembolism risk prediction model for patients with primary membranous nephropathy based on machine learning.docx حسب Lian Li (49049)

"…Objective<p>This study utilizes real-world data from primary membranous nephropathy (PMN) patients to preliminarily develop a venous thromboembolism (VTE) risk prediction model with machine learning. …"

Error of models. حسب Qinghua Li (398885)

"…To prevent issues such as overfitting or underfitting during model training, although common meta-heuristic optimisation algorithms can alleviate these problems to a certain extent, they still have some shortcomings. …"

DataSheet_1_Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach.docx حسب Haoyu Wang (429641)

"…To test this hypothesis in silico, a functional–structural plant model, which simulates both the primary and secondary growth of stems, is coupled with a biomechanical model which computes forces, moments of forces, and breakage location in stems caused by both wind and self-weight increment during plant growth. …"

Table 1_Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates—results from a prospective multi-center study.docx حسب Britta Steffens (13231326)

Table_1_Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma.docx حسب Jiang Zhu (40858)

Image_1_Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma.TIFF حسب Jiang Zhu (40858)

Construction process of RF. حسب Xini Fang (20861990)

"…<div><p>To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. …"

Multivariable Cox proportional hazard model^b'*' for the composite outcome among the post-propensity matched COVID-19 infected patients in the Banner Healthcare System be... حسب Srilekha Sridhara (15374444)

Table_1_Comparison and analysis of multiple machine learning models for discriminating benign and malignant testicular lesions based on magnetic resonance imaging radiomics.DOCX حسب Yanhui Feng (1484833)

Data_Sheet_1_Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence.PDF حسب Vito Janko (14605643)

Data Sheet 1_TBESO-BP: an improved regression model for predicting subclinical mastitis.pdf حسب Kexin Han (10933209)

"…</p>Discussion<p>The TBESO-BP model emerges as a precise tool for predicting subclinical mastitis in dairy cows. …"

Prediction results of different models. حسب Qinghua Li (398885)

"…To prevent issues such as overfitting or underfitting during model training, although common meta-heuristic optimisation algorithms can alleviate these problems to a certain extent, they still have some shortcomings. …"

ROC curves. حسب Nicola Lazzarini (3528197)

PR curves. حسب Nicola Lazzarini (3528197)

Age feature importance. حسب Nicola Lazzarini (3528197)

Overview of the cohort definition process. حسب Nicola Lazzarini (3528197)

Table_1_An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach.pdf حسب Chung-Feng Liu (9369911)